SKEYP: AI应用于SOHO钥匙孔操作

2009 Third IEEE International Conference on Space Mission Challenges for Information Technology Pub Date : 2009-07-19 DOI:10.1109/SMC-IT.2009.16

N. Policella, H. Oliveira, T. Siili

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引用次数: 9

摘要

自2003年以来，由于航天器故障，太阳和日光层天文台(SOHO)的任务操作小组不得不处理锁眼周期问题。这种组合问题源于锁孔期间有限的遥测下行能力与最大限度地返回科学数据的需求之间的冲突，同时还要考虑到其他限制因素，例如有限的机载存储容量。直到最近，这个问题都是通过手动生成数据生产和下行计划来解决的。这项工作提出了SOHO Keyhole Planner (SKEYP)，这是一个软件工具，旨在通过缩短所需的时间和减少与此过程相关的学习曲线的重要性来改进手工计划生成工作流程。

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SKEYP: AI Applied to SOHO Keyhole Operations

The Solar and Heliospheric Observatory's (SOHO) mission operations team has - due to a spacecraft malfunction - had to deal with the Keyhole Periods problem since 2003. This combinatorial problem arises from the conflict between limited telemetry downlink capabilities during keyhole periods and the need to maximize the return of science data while respecting other constraints, such as limited on-board storage capacity. Until recently, this problem has been addressed by manually generating data production and downlink plans. This work presents the SOHO Keyhole Planner (SKEYP), a software tool designed to improve on the manual workflow for plan generation by shortening the time needed and reduce significance of the learning curve associated with this process.

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2009 Third IEEE International Conference on Space Mission Challenges for Information Technology

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